Fraud Lending Analyst (Project Based)
gotyme bank
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About GoTyme GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme's globally proven digital banking technology and hands-on experience building South Africa's leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today. At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom. About The Role The Fraud Lending Analyst supports end-to-end fraud monitoring and investigations for lending products to ensure timely, accurate, and compliant fraud alert resolution. This role reviews fraud queues, validates suspicious activity, and executes required actions and reporting in line with internal controls and regulatory expectations. The analyst partners with Operations, Risk, and relevant stakeholders to reduce fraud losses and improve detection through insights and continuous improvement initiatives.
- Review and action assigned lending fraud queues, ensuring timely triage, investigation, and disposition of fraud alerts/cases.
- Provide insights to improve fraud rules; risk models; and decisioning logic
- Assist in tuning fraud rules to balance fraud loss prevention and approval rates
- Participate in UAT for new fraud tools, lending products, and policy updates
- Identify control gaps ad recommend process improvements
- Conduct investigations for lending fraud typologies (e.g., application fraud, identity/synthetic identity, document manipulation, mule/third-party involvement, disbursement/repayment abuse, first/third-party fraud).
- Ensure high-quality case documentation, including clear rationale, evidence capture, and accurate case outcomes in case management tools.
- Execute AFASA-related processes end-to-end (e.g., funds actioning, case updates, disposition tracking) within required timelines.
- Complete final disposition communications and ensure required parties are notified within established process timeframes.
- Prepare and submit incident reports and RCLs with complete and accurate details, following prescribed templates and governance steps.
- Escalate high-risk or complex lending fraud cases promptly to senior team members and relevant stakeholders.
- Support data integrity checks by validating key fields, case attributes, and system outputs; report discrepancies and track resolution.
- Contribute to fraud loss reduction by identifying trends, root causes, and control gaps; recommend actionable improvements.
- Participate in at least one AI/automation or process improvement initiative (e.g., prompt/playbook creation, investigation checklists, workflow optimization).
- Adhere to SOPs, control requirements, and audit-ready documentation standards at all times.
- Complete mandatory training and participate in 70:20:10 development activities (on-the-job learning, collaboration, and formal training)
- Assistance in court appearances as needed.
- A Bachelor's Degree of any related field. Graduate of a non-technical course is acceptable, with strong technical aptitude
- Proven experience in transaction monitoring within a banking or financial services environment
- Must be open to a project-based role for 6 months
- Strong analytical skills and attention to detail
- Ability to navigate and leverage new tools and technologies for fraud detection
- Excellent communication and teamwork skills
- Comfortable working in a dynamic, agile environment
- Experience with lending fraud investigations and controls (application-to-disbursement lifecycle)
- Experience in Fraud Management/Transaction Monitoring. Familiar with MORB Guidelines and AFASA.
- Strong logical reasoning and investigative mindset
- Good to have: SQL and/or a programming language for data checks, basic analysis, and investigation support
- Ability to assess risk quickly, prioritize workload, and escalate appropriately
- Strong written documentation skills (clear narratives, evidence-based decisions)
- Collaborative working style with the ability to coordinate with cross-functional stakeholders
- High integrity and adherence to policies, SOPs, and control requirements
Vacancy posted 1 day ago
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